Abstract: Federated Learning (FL) is a collaborative machine learning (ML) framework that combines on-device training and server-based aggregation to train a common ML model among distributed agents.

Abstract: This paper studies the distributed event-triggered tracking control problem of general linear multiagent systems with a dynamic leader, whose control input might be nonzero and unknown. The ...

If you are building a simple dashboard or a form-based application, the traditional JSON API (REST or GraphQL) approach is ...

Finishing AP Computer Science Principles is a major milestone, but the leap from block-based coding to real-world JavaScript can feel daunting. Fortunately, the landscape has evolved: Code.org has ...

async-channel provides iterable, awaitable Channels for passing asynchronous values around, as well as tools for utilizing these Channels to perform parallel processing using a simple, functional API.